STACKQUADRANT

microsoft/nni

AI DevOps

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

6.9
GitHub Metrics
Stars
14.3k
Forks
1.9k
Open Issues
415
Watchers
277
Contributors
191
Weekly Commits
0
Language
Python
License
MIT
Last Commit
Jul 3, 2024
Created
Jun 1, 2018
Latest Release
v3.0
Release Date
Sep 14, 2023
Synced: Apr 16, 2026
Quality Scores
Documentation Qualityw: 20%
8.1

Has docs site (https://nni.readthedocs.io). Description: 175 chars. Stars signal: 14,346. Contributors: 191. Score: 8.1/10

Community Healthw: 20%
8.5

Stars: 14,346. Contributors: 191. Watchers: 277. Forks: 1,854. Issue ratio: 2.9%. Score: 8.5/10

Maintenance Velocityw: 15%
0.8

Last commit: 652d ago. Weekly commits: 0. Latest release: v3.0. Maturity bonus: 7.9y old. Score: 0.8/10

API Design & DXw: 20%
7.6

Stars/issues ratio: 35. Dynamic language: Python. Has documentation site. Permissive license: MIT. Popularity signal: 14,346 stars. Score: 7.6/10

Production Readinessw: 15%
7.0

Battle-tested: 14,346 stars. Peer review: 191 contributors. Versioned: v3.0. Licensed: MIT. Age: 7.9 years. Maintenance: last commit 652d ago. Score: 7/10

Ecosystem Integrationw: 10%
8.5

Fork interest: 1,854. Major ecosystem: Python. Integration-friendly: MIT. Adoption: 14,346 stars. Has web presence. Score: 8.5/10

Tags
automated-machine-learningautomlbayesian-optimizationdata-sciencedeep-learningdeep-neural-networkdistributedfeature-engineeringhyperparameter-optimizationhyperparameter-tuning
Radar
Documentation Quality
Community Health
Maintenance Velocity
API Design & DX
Production Readiness
Ecosystem Integration